Why this is agent-ready
Agents do not need to read the visual UI or invent a schema. The same scoring path is exposed through REST, MCP, and A2A, with OpenAPI and Markdown mirrors linked in HTTP headers and discovery files.
iLook gives agents a consent-gated, adult-only face analysis API with stable JSON: face shape, score out of 100, Golden Ratio phi score, five visible signals, short explanations, and stable error codes.
{
"operation": "scoreFace",
"input": {
"image": "jpeg/png/webp up to 5 MB",
"adult_and_authorized": true,
"measurement_key": "optional focused tool"
},
"returns": [
"face_shape",
"overall_score_100",
"scores",
"score_explanations",
"phi_score",
"measurements or one focused measurement",
"stable_error_codes"
]
}Agents do not need to read the visual UI or invent a schema. The same scoring path is exposed through REST, MCP, and A2A, with OpenAPI and Markdown mirrors linked in HTTP headers and discovery files.
Every call requires adult and lawful-use attestation. The service rejects missing faces, multiple faces, possible minors, unsupported content, and invalid images. Bearer API requests remain transient, and iLook does not create face embeddings or landmark archives.
Use iLook for profile-photo feedback, style workflows, onboarding helpers, image-quality coaching, and structured demos where the user explicitly supplies an authorized adult image.
Do not use iLook for identity recognition, sensitive-trait inference, age verification, medical claims, employment decisions, credit, insurance, dating access, or any other high-impact decision.
iLook provides an AI face analysis API for agents that need stable JSON instead of screenshots or scraped UI. It covers face shape, face score, phi score, facial symmetry, visible-signal explanations, and strict adult-only safety boundaries.